Gabriella Waters

11 papers Journal 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Comparative Simulation Study of the Fairness and Accuracy of Predictive Policing Systems in Baltimore City.
CoRR
Samin Semsar, Kiran Laxmikant Prabhu, Gabriella Waters, James Foulds
2026 J jnl
CIRCLE: A Framework for Evaluating AI from a Real-World Lens.
CoRR
Reva Schwartz, Carina Westling, Morgan Briggs, Marzieh Fadaee, Isar Nejadgholi, Matthew Holmes, Fariza Rashid, Maya Carlyle, Afaf Taïk, Kyra Wilson, Peter Douglas, Theodora Skeadas, Gabriella Waters, Rumman Chowdhury, Thiago Lacerda
2026 J jnl
Real-World AI Evaluation: How FRAME Generates Systematic Evidence to Resolve the Decision-Maker's Dilemma.
CoRR
Reva Schwartz, Gabriella Waters
2025 J jnl
AI Biases as Asymmetries: A Review to Guide Practice.
CoRR
Gabriella Waters, Phillip Honenberger
2025 J jnl
AI biases as asymmetries: a review to guide practice.
Frontiers Big Data
Gabriella Waters, Phillip Honenberger
2025 J jnl
Bias recognition and mitigation strategies in artificial intelligence healthcare applications.
npj Digit. Medicine
Fereshteh Hasanzadeh, Colin Bruce Josephson, Gabriella Waters, Demilade Adedinsewo, Zahra Azizi, James A. White
2025 J jnl
Decisional value scores: A new family of metrics for ethical AI-ML.
AI Ethics
Gabriella Waters, William Mapp, Phillip Honenberger
2025 J jnl
Reality Check: A New Evaluation Ecosystem Is Necessary to Understand AI's Real World Effects.
CoRR
Reva Schwartz, Rumman Chowdhury, Akash Kundu, Heather Frase, Marzieh Fadaee, Tom David, Gabriella Waters, Afaf Taïk, Morgan Briggs, Patrick Hall, Shomik Jain, Kyra Yee, Spencer Thomas, Sundeep Bhandari, Paul Duncan, Andrew Thompson, Maya Carlyle, Qinghua Lu, Matthew Holmes, Theodora Skeadas
2025 J jnl
Testing, Evaluation, Verification and Validation (TEVV) of Digital Twins: A Comprehensive Framework.
CoRR
Gabriella Waters
2025 J jnl
Uncanny or Not? Perceptions of AI-Generated Faces in Autism.
CoRR
Gabriella Waters
2024 J jnl
Bias Neutralization Framework: Measuring Fairness in Large Language Models with Bias Intelligence Quotient (BiQ).
CoRR
Malur Narayan, John Pasmore, Elton Sampaio, Vijay Raghavan, Gabriella Waters